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A surface-based DNA algorithm for the minimal vertex cover problem
作者姓名:PAN Linqiang  XU Jin and LIU Yachun
作者单位:Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China; Department of Mathematics and Physics,Institute of Engineering and Technology,Nanhua University,Hengyang 421001,China
基金项目:Supported by the National Natural Science Foundation of China (Grant Nos. 60103021 and 60174047),China Postdoctoral Science Foundation
摘    要:Abstract DNA computing was proposed for solving a class of intractable computational problems, of which the computing timewill grow exponentially with the problem size. Up to now, many achievements have been made to improve its performance and increase itsreliability. It has been shown many times that the surface-based DNA computing technique has very low error rate, but the technique hasnot been widely used in the DNA computing algorithms design. In this paper, a surface-based DNA computing algorithm for minimal ver-tex cover problem, a problem well-known for its exponential difficulty, is introduced. This work provides further evidence for the abilityof surface-based DNA computing in solving NP-complete problems.


A surface-based DNA algorithm for the minimal vertex cover problem
PAN Linqiang,XU Jin and LIU Yachun.A surface-based DNA algorithm for the minimal vertex cover problem[J].Progress in Natural Science,2003,13(1).
Authors:PAN Linqiang  XU Jin  LIU Yachun
Abstract:DNA computing was proposed for solving a class of intractable computational problems, of which the computing time will grow exponentially with the problem size. Up to now, many achievements have been made to improve its performance and increase its reliability. It has been shown many times that the surface-based DNA computing technique has very low error rate, but the technique has not been widely used in the DNA computing algorithms design. In this paper, a surface-based DNA computing algorithm for minimal vertex cover problem, a problem well-known for its exponential difficulty, is introduced. This work provides further evidence for the ability of surface-based DNA computing in solving NP-cornplete problems.
Keywords:DNA computing  NP-complete problem  minimal vertex cover problem  
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